Much like the state privacy legislation that have come before it, the Maryland Online Data Privacy Act of 2024 (MODPA) includes its own unique provisions that will add additional complexities to an organization's compliance efforts and data use strategy.
As AI tools like Microsoft Copilot and ChatGPT Premium become more integral to business operations, CISOs and CEOs must collaborate and take proactive steps to safeguard their organizations against data leakage and other security threats.
In the rapidly evolving world of cybersecurity, distinguishing between vulnerabilities, cyber threats, and cyber risks is not just a technicality—it's a necessity. As threats grow more sophisticated, the distinction between these concepts becomes crucial for businesses aiming to mature their security posture.
AI and ML models, and network and security collaboration can successfully address the shortcomings of legacy XDR, paving the path to more accurate detection, faster remediation and ensure business continuity.
The Cyber Incident Reporting for Critical Infrastructure Act of 2022 (“CIRCIA”) was signed into law on March 15, 2022 and requires covered entities to report “significant” cyber incidents within 72 hours and ransomware payments within 24 hours.
While the APRA is still a “discussion draft,” it aims to provide a national data privacy and security framework outlining consumer rights and data management requirements. Under the APRA, companies would have to limit the types of consumer data they collect, retain, and use, allowing only data needed to operate their services.
International firms, particularly those big Tech firms with operations in major markets such as China, EU and the US, are facing an increasingly challenging task in the evolving data security and personal information protection regulatory environment.
Weak cyber security practices mean a company will almost certainly experience a data breach – the only question is the order of magnitude of dollars lost, reputational damage, and downstream harm to the individuals who trusted the company with their data.
Fraud detection and cybersecurity have traditionally been separate disciplines. However, increasingly sophisticated attacks, especially those targeting APIs with malicious bots, demand a more integrated defense.
Generative AI (GenAI) has prompted fears about data security and privacy, but it may also be the tool that organizations have been looking for to improve security and privacy through better data handling.










